Image analysis – Histogram processing – For setting a threshold
Patent
1990-12-19
1992-02-25
Boudreau, Leo H.
Image analysis
Histogram processing
For setting a threshold
3582611, 3582612, G06K 936, H04N 141
Patent
active
050919776
ABSTRACT:
In an image data compression method to be employed in coding digital image data whose pixels are represented by n bits and which include 2.sup.n different types of runs, while a run length of a current run is counted, a value representing a run type of the current run is predicted. The prediction is repeated till a predicted value coincides with an actual value of the run type of the current run. When a predicted value does not coincide with the actual value of the run type of the current run, a run length for an imaginary run having the predicted value is regarded as zero and the run length 0 of the imaginary run is entropy coded. On the other hand, when a predicted value coincides with an actual value, the actual run length of the current run is entropy coded.
REFERENCES:
patent: 4097903 (1978-06-01), Nakagome et al.
patent: 4344086 (1982-08-01), Mizuno
patent: 4360840 (1982-11-01), Wolfrum et al.
patent: 4454546 (1984-06-01), Mori
patent: 4701803 (1987-10-01), Sato
patent: 4725885 (1988-02-01), Gonzales et al.
P. A. Stern et al., Facsimile Run Length Coding Uning Run Length Prediction (1974, pp. 170-176).
H. Shimora et al., "The Multi-Level Image Data Compression," Ricoh Technical Report No. 13, May 1985, pp. 13-21.
Katata Hiroyuki
Noguchi Yoji
Boudreau Leo H.
Johns Andrew W.
Sharp Kabushiki Kaisha
LandOfFree
Image data compression method using a run prediction technique does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Image data compression method using a run prediction technique, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image data compression method using a run prediction technique will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1898771